Triple
T2700479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salisbury, Wiltshire, England |
E59216
|
entity |
| Predicate | cathedralConstructionStarted |
P42066
|
FINISHED |
| Object | 13th century |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 13th century | Statement: [Salisbury, Wiltshire, England, cathedralConstructionStarted, 13th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cathedralConstructionStarted Context triple: [Salisbury, Wiltshire, England, cathedralConstructionStarted, 13th century]
-
A.
cathedralStatus
Indicates that an entity holds the official status or designation of a cathedral within a religious or ecclesiastical context.
-
B.
hasCathedralStatusSince
Indicates the point in time from which something has held the official status of a cathedral.
-
C.
cathedral
Indicates that an entity is a cathedral, i.e., it has the status or function of a principal church, typically one that is the seat of a bishop.
-
D.
cathedralDedication
Indicates the religious figure, event, or concept to which a cathedral is formally dedicated.
-
E.
hasCathedralCompletedIn
Indicates that a cathedral associated with an entity was completed in a specified year or time period.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda34ba508190be8e2c9e4052adfc |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd9ceec708190aa162399023b2273 |
completed | March 7, 2026, 7:54 a.m. |
Created at: March 6, 2026, 9:55 p.m.